{"id":"W602679564","doi":"10.1002/atr.150","title":"Disaggregate safety evaluation for signalized intersections and evaluation tool","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Intersection (aeronautics); Transport engineering; Negative binomial distribution; Synchro; Bayes' theorem; Traffic flow (computer networking); Data collection; Signal timing; Engineering; Computer science; Poisson distribution; Bayesian probability; Statistics; Mathematics; Computer security; Real-time computing; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003635525,0.000900273,0.0006431068,0.005029943,0.0002438775,0.001359137,0.0009254448,0.0003730039,0.01522933],"category_scores_gemma":[0.01649765,0.0003995064,0.0004338198,0.001801105,0.0002150365,0.001575245,0.0008964229,0.0004777554,0.002473758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007845893,"about_ca_system_score_gemma":0.0007913437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187002,"about_ca_topic_score_gemma":0.002024757,"domain_scores_codex":[0.9978182,0.0006209426,0.0003121369,0.0002720742,0.0009111193,0.00006550706],"domain_scores_gemma":[0.9866886,0.007464743,0.001166293,0.001185012,0.003331552,0.0001638186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008620251,0.0008953515,0.03741645,0.0006061207,0.0001633382,0.000369233,0.0008306776,0.1759758,0.01940803,0.008049047,0.02170187,0.7337221],"study_design_scores_gemma":[0.0002619274,0.0006984845,0.03445642,0.0002718069,0.00009591087,0.0003467214,0.0003334933,0.891921,0.04112345,0.007822081,0.02253398,0.0001346936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2431724,0.0001894697,0.6867077,0.0002609156,0.00004825825,0.001666978,0.009574177,0.04065795,0.01772215],"genre_scores_gemma":[0.4752901,0.0001650917,0.5051819,0.0001121795,0.00002912642,0.001568421,0.008224059,0.001437637,0.007991469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01522933,"threshold_uncertainty_score":0.05094713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011376614200993,"score_gpt":0.2692115644922914,"score_spread":0.2590977983502815,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}